BAYESIAN NONPARAMETRICS FOR CAUSAL INFERENCE AND MISSING DATA by Michael J. Daniels ( 9780367341008 )

Item Details

Title:

BAYESIAN NONPARAMETRICS FOR CAUSAL INFERENCE AND MISSING DATA

By:

Michael J. Daniels

Format:

Hardback

List price:

£97.99

Our price:

£88.19

Discount:

10% off

You save:

£9.80

ISBN 10:

036734100X

ISBN 13:

9780367341008

Availability:

Usually dispatched within 3-5 days.

Delivery rates

Stock:

Currently 1item in stock

Publisher:

TAYLOR & FRANCIS LTD

Pub. date:

23 August, 2023

Series:

Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Pages:

252

Description:

Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal and/or missingness assumptions, can be used with the g-formula to infer causal effects.

Illustrations:

8 Tables, black and white; 42 Line drawings, black and white; 42 Illustrations, black and white

Returns:

Returnable

Some other items by this author:

ADVANCES IN MOLECULAR GENETICS OF PLANT-MICROBE INTERACTIONS (HB)

ADVANCES IN MOLECULAR GENETICS OF PLANT-MICROBE INTERACTIONS (PB)

BIOSTATISTICS FOR THE BIOLOGICAL AND HEALTH SCIENCES (HB)

BIOSTATISTICS FOR THE BIOLOGICAL AND HEALTH SCIENCES, GLOBAL EDITION

BISCUIT HEAD (HB)

CROSSWORD PUZZLE 05

CROSSWORD PUZZLE 6